DataFrame.
cache
Persists the DataFrame with the default storage level (MEMORY_AND_DISK).
DataFrame
New in version 1.3.0.
Changed in version 3.4.0: Supports Spark Connect.
Cached DataFrame.
Notes
The default storage level has changed to MEMORY_AND_DISK to match Scala in 2.0.
Examples
>>> df = spark.range(1) >>> df.cache() DataFrame[id: bigint]
>>> df.explain() == Physical Plan == InMemoryTableScan ...